Authorship identification technique on basis of support vector machine

Abstract: In the article authorship identification problem in the case of the limited set of alternatives is posed as classification task. It is suggested to use support vector machine and text's N-gramm features for solving the problem. Classification accuracy improving based on smoothing techniques is considered. Results of experiments that confirm theoretical assumptions are given.

Keywords: authorship identification, classifire, text features, support vector machine, smoothing

For citation:
Romanov A. S. Authorship identification technique on basis of support vector machine. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2009, no. 1(19), – p. 2. pp. 36–42.